Background:　Hepatitis　C　virus　(HCV)　is　a　bloodborne　virus　that　causes　both　acute　and　chronic　hepatitis　with　the　severity　from　a　mild　illness　to　liver　cirrhosis　and　cancer.　As　one　of　the　major　infectious　diseases　in　China,　the　monthly　surveillance　data　from　the　Fujian　Provincial　Center　for　Disease　Control　and　Prevention　shows　the　increasing　tendency　from　2004　to　2011,　the　stable　tendency　from　2012　to　2016,　and　the　declining　tendency　from　2017　to　2022.　The　2004–2022　HCV　infection　tendency　of　Fujian　Province　is　affected　by　nation-wide　main　control　measures　of　Chinese　government,　because　no　control　measures　for　HCV　are　modified　from　2020　to　2022　during　the　prevalence　of　COVID-19　in　Fujian　Province.　Methods:　The　SEACTR　(the　susceptible,　the　exposed,　the　acutely　infected,　the　chronically　infected,　the　treated,　the　recovered)　models　with　protection　awareness　are　proposed.　The　next　generation　matrix　method　is　used　to　compute　basic　reproduction　number　of　toy　model　and　dynamic　analysis　method　is　used　to　produce　stochastic　reproduction　number　of　modified　model.　The　least　squares　method　and　toy　model　are　used　to　perform　the　optimal　fitting　against　the　monthly　surveillance　data.　The　positive　preserving　truncated　Euler-Maruyama　method　is　applied　in　modified　model　for　the　positivity　of　numerical　simulations.　Results:　The　optimal　fitting　is　performed　using　the　monthly　surveillance　data　provided　by　the　Fujian　Provincial　Center　for　Disease　Control　and　Prevention　from　2004　to　2022.　The　sensitivities　of　protection　efficiency　and　conversion　rate　to　basic　reproduction　number　and　stochastic　reproduction　number　are　analyzed.　The　reproduction　numbers　and　HCV　infection　scale　with　measures　(single-measure,　double-measure,　triple-measure,　and　none-measure)　are　compared　using　toy　model　and　modified　model.　The　impacts　of　protection　efficiency　and　conversion　rate　on　exposed　population,　acutely　infected　population,　chronically　infected　population,　and　treated　population　are　analyzed.　The　tendency　predictions　for　infected　population　and　treated　population　in　Fujian　Province　from　2023　to　2035　are　conducted.　Conclusions:　The　HCV　infection　scale　mainly　depends　on　both　protection　efficiency　and　conversion　rate,　in　which　protection　efficiency　is　the　most　important　contributor.　The　reproduction　numbers　show　the　declining　tendencies　by　phases,　which　indicate　that　the　prevention　and　control　of　HCV　in　Fujian　Province　has　achieved　a　remarkable　achievement.　The　2023–2035　tendency　predictions　of　HCV　infection　scale　in　Fujian　Province　grow　slowly　due　to　approximately　19–109　monthly　infections.　The　overall　HCV　growth　tendency　of　Fujian　Province　is　consistent　with　the　nation-wide　elimination　objective.　©　2025　The　Authors